Associate Engineer, Business Analytics Industrial Engineering

NBCUniversal•Universal City, CA

15h•$75,000 - $85,000•Hybrid

About The Position

As an Associate Industrial Engineer at Universal Studios Hollywood, you will combine field observation with data-driven analysis to support operational improvements across our park and guest experiences. A typical day blends analytical work with time in the operation. You may evaluate labor and operational performance using data, then partner with frontline teams to test and implement process improvements in a live environment. You will help translate operational data into actionable insights that inform business decisions and drive measurable improvements across workforce management, process optimization, and overall operational effectiveness.

Requirements

Bachelor’s degree in Industrial Engineering, Operations Research, Management Science, Decision Science, Data Analytics, Statistics, or a related quantitative field
1+ years of relevant analytical or operational experience, including internships and co-op experience
Experience conducting analytical or operational studies using business data and translating findings into actionable recommendations
Strong analytical and problem-solving skills with the ability to translate data into actionable insights
Proficiency in Microsoft Excel and experience working with datasets
Experience with data querying or programming tools such as SQL or Python
Strong communication and interpersonal skills with the ability to collaborate across teams
Ability to present findings and recommendations to technical and non-technical audiences
Ability to manage multiple priorities in a fast-paced, dynamic environment

Nice To Haves

Internship or project experience in industrial engineering, operations analysis, workforce management, or process improvement
Familiarity with workforce management, labor planning, staffing optimization, or forecasting concepts
Experience with data visualization tools such as Power BI or Tableau
Exposure to cloud-based data platforms such as Snowflake, AWS, or Microsoft Azure
Exposure to Lean, Six Sigma, or continuous improvement methodologies
Experience in theme parks, hospitality, entertainment, retail, or other high-volume operational environments
Demonstrated curiosity and willingness to learn new analytical tools, systems, and operational processes

Responsibilities

Apply industrial engineering and analytical methods such as forecasting, process analysis, capacity analysis, and optimization techniques to support operational improvement initiatives
Assist in developing and maintaining analytical models that support labor planning, staffing optimization, forecasting, and operational decision-making
Analyze operational performance data to identify trends, performance gaps, and opportunities for improvement
Translate analytical findings into actionable insights and recommendations
Conduct on-site observational studies to evaluate operational processes, guest flow, and workforce performance
Collect, validate, and analyze time studies, throughput data, and other operational metrics
Combine field observations with data analysis to develop practical and implementable operational improvements
Contribute to Workforce Management initiatives through labor planning analysis, staffing optimization, scheduling analytics, and demand forecasting
Evaluate opportunities to improve labor utilization and operational efficiency
Contribute to workforce management tools, reporting, and planning processes
Extract, analyze, and validate data using tools such as SQL, Snowflake, Python, Excel, and other cloud-based platforms
Build and maintain dashboards and reporting tools in Power BI and Excel to track KPIs and operational performance trends
Participate in automation and workflow improvement initiatives that improve efficiency and data accuracy
Partner with cross-functional teams and operational leaders to implement process improvements
Communicate insights and recommendations through presentations, reporting, and data visualization
Assist in developing business cases and operational analyses for leadership review